102 citations as recorded by crossref.

1. Improvements and Operational Application of a Zero-Order Quick Assessment Model for Flood Damage: A Case Study in Italy L. Manselli et al. 10.3390/w14030373
2. Modelling flood damages under climate change conditions – a case study for Germany F. Hattermann et al. 10.5194/nhess-14-3151-2014
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4. A probabilistic approach to estimating residential losses from different flood types D. Paprotny et al. 10.1007/s11069-020-04413-x
5. Developing a multivariable lookup table function for estimating flood damages of rice crop in Vietnam using a secondary research approach N. Nguyen et al. 10.1016/j.ijdrr.2021.102208
6. A review of flood damage analysis for a building structure and contents M. Marvi 10.1007/s11069-020-03941-w
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8. Flood loss estimation using 3D city models and remote sensing data K. Schröter et al. 10.1016/j.envsoft.2018.03.032
9. Estimating changes in flood risks and benefits of non-structural adaptation strategies - a case study from Tyrol, Austria A. Thieken et al. 10.1007/s11027-014-9602-3
10. Extending coupled hydrological-hydraulic model chains with a surrogate model for the estimation of flood losses A. Zischg et al. 10.1016/j.envsoft.2018.08.009
11. Conceptual and Analytical Framework as Flood Risk Mapping Subsidy L. Batista & A. Ribeiro Neto 10.3390/geohazards3030020
12. The object-specific flood damage database HOWAS 21 P. Kellermann et al. 10.5194/nhess-20-2503-2020
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15. Flood damage curves: new insights from the 2010 flood in Veneto, Italy A. Scorzini & E. Frank 10.1111/jfr3.12163
16. An Assessment of the Effectiveness of Tree-Based Models for Multi-Variate Flood Damage Assessment in Australia R. Hasanzadeh Nafari et al. 10.3390/w8070282
17. An Empirical, Functional approach to Depth Damages W. Lehman et al. 10.1051/e3sconf/20160705002
18. AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation D. Molinari et al. 10.5194/nhess-19-2565-2019
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20. Optimal Domain Scale for Stochastic Urban Flood Damage Assessment Considering Triple Spatial Uncertainties H. Lv et al. 10.1029/2021WR031552
21. Residential building and sub-building level flood damage analysis using simple and complex models R. Paulik et al. 10.1007/s11069-024-06756-1
22. Evolution of flood risk over large areas: Quantitative assessment for the Po river A. Domeneghetti et al. 10.1016/j.jhydrol.2015.05.043
23. Livable floodplain settlement, force adaptation, or landform adaptation? (Case in Bengawan Solo river downstream) B. Firsandy et al. 10.1088/1755-1315/780/1/012040
24. The RISPOSTA procedure for the collection, storage and analysis of high quality, consistent and reliable damage data in the aftermath of floods F. Ballio et al. 10.1111/jfr3.12216
25. Empirical flash flood vulnerability functions for residential buildings C. Arrighi et al. 10.1007/s42452-020-2696-1
26. Residential flood loss estimated from Bayesian multilevel models G. Mohor et al. 10.5194/nhess-21-1599-2021
27. Cost–benefit analysis of flood mitigation measures: a case study employing high-performance hydraulic and damage modelling D. Molinari et al. 10.1007/s11069-021-04814-6
28. Social disruption by flooding, a European perspective W. Ten Brinke et al. 10.1016/j.ijdrr.2017.01.011
29. Data Extraction Algorithm for Energy Performance Certificates (EPC) to Estimate the Maximum Economic Damage of Buildings for Economic Impact Assessment of Floods in Flanders, Belgium S. Van Ackere et al. 10.3390/ijgi7070272
30. Assessing the impact of climate change on flood inundation and agriculture in the Himalayan Mountainous Region of Bhutan P. Syldon et al. 10.1016/j.ejrh.2024.101687
31. Invited perspectives: How machine learning will change flood risk and impact assessment D. Wagenaar et al. 10.5194/nhess-20-1149-2020
32. Short communication: A model to predict flood loss in mountain areas S. Fuchs et al. 10.1016/j.envsoft.2019.03.026
33. Supporting decision‐making on urban flood control alternatives through a recovery deficit procedure for successive events L. Guimarães & M. Miguez 10.1111/jfr3.12596
34. Challenges in paleoflood hydrology applied to risk analysis in mountainous watersheds – A review J. Bodoque et al. 10.1016/j.jhydrol.2014.12.004
35. Identifying Driving Factors in Flood‐Damaging Processes Using Graphical Models K. Vogel et al. 10.1029/2018WR022858
36. A GIS-based flood damage index for cultural heritage C. Arrighi et al. 10.1016/j.ijdrr.2023.103654
37. Assessing coastal flood risk in a changing climate for the City of Vancouver T. Lyle & T. Mills 10.1080/07011784.2015.1126695
38. Assessment of Flood Losses with Household Responses: Agent-Based Simulation in an Urban Catchment Area L. Yang et al. 10.1007/s10666-018-9597-3
39. Evaluating targeted heuristics for vulnerability assessment in flood impact model chains A. Zischg et al. 10.1111/jfr3.12736
40. A Global Scale Analysis of River Flood Risk of UNESCO World Heritage Sites C. Arrighi 10.3389/frwa.2021.764459
41. From global circulation to local flood loss: Coupling models across the scales G. Felder et al. 10.1016/j.scitotenv.2018.04.170
42. Mapping direct flood impacts from a 2020 extreme flood event in Central Vietnam using spatial analysis techniques C. Luu et al. 10.1108/IJDRBE-07-2021-0070
43. Preface: Flood-risk analysis and integrated management P. Bubeck et al. 10.5194/nhess-16-1005-2016
44. Evaluating the cumulative costs of small-scale flash floods in Kuala Lumpur, Malaysia T. Bhuiyan et al. 10.1016/j.jhydrol.2022.128181
45. On the Influence of Input Data Quality to Flood Damage Estimation: The Performance of the INSYDE Model D. Molinari & A. Scorzini 10.3390/w9090688
46. Development of model for the estimation of direct flood damage including the movable property K. Zabret et al. 10.1111/jfr3.12255
47. Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. 10.5194/nhess-22-3385-2022
48. INSYDE-BE: adaptation of the INSYDE model to the Walloon region (Belgium) A. Scorzini et al. 10.5194/nhess-22-1743-2022
49. Flood vulnerability assessment of residential buildings by explicit damage process modelling R. Custer & K. Nishijima 10.1007/s11069-015-1725-7
50. Flood loss modelling with FLF-IT: a new flood loss function for Italian residential structures R. Hasanzadeh Nafari et al. 10.5194/nhess-17-1047-2017
51. Quantifying Flood Vulnerability Reduction via Private Precaution N. Sairam et al. 10.1029/2018EF000994
52. Risk-based flood protection planning under climate change and modeling uncertainty: a pre-alpine case study B. Dittes et al. 10.5194/nhess-18-1327-2018
53. Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality R. Moya Barbera et al. 10.1016/j.cscm.2024.e03004
54. A comparison of building value models for flood risk analysis V. Röthlisberger et al. 10.5194/nhess-18-2431-2018
55. A Review of Flood Loss Models as Basis for Harmonization and Benchmarking T. Gerl et al. 10.1371/journal.pone.0159791
56. The determination of flood damage curve in areas lacking disaster data based on the optimization principle of variation coefficient and beta distribution Z. Wu et al. 10.1016/j.scitotenv.2020.142277
57. Uncertainty in flood damage estimates and its potential effect on investment decisions D. Wagenaar et al. 10.5194/nhess-16-1-2016
58. Urban pluvial flood risk assessment – data resolution and spatial scale when developing screening approaches on the microscale R. Löwe & K. Arnbjerg-Nielsen 10.5194/nhess-20-981-2020
59. Are OpenStreetMap building data useful for flood vulnerability modelling? M. Cerri et al. 10.5194/nhess-21-643-2021
60. Physical vulnerability to dynamic flooding: Vulnerability curves and vulnerability indices M. Papathoma-Köhle et al. 10.1016/j.jhydrol.2022.127501
61. Flood depth-damage and fragility functions derived with structured expert judgment G. Pita et al. 10.1016/j.jhydrol.2021.126982
62. Assessment of flood loss model transferability considering changes in precaution of flood-affected residents in Germany S. Kienzler et al. 10.1051/e3sconf/20160713002
63. Testing empirical and synthetic flood damage models: the case of Italy M. Amadio et al. 10.5194/nhess-19-661-2019
64. INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis F. Dottori et al. 10.5194/nhess-16-2577-2016
65. Validation of flood risk models: Current practice and possible improvements D. Molinari et al. 10.1016/j.ijdrr.2018.10.022
66. Hierarchical Bayesian Approach for Modeling Spatiotemporal Variability in Flood Damage Processes N. Sairam et al. 10.1029/2019WR025068
67. Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction D. Wagenaar et al. 10.1111/risa.13575
68. Ex post damage assessment: an Italian experience D. Molinari et al. 10.5194/nhess-14-901-2014
69. Development and evaluation of FLFAcs – A new Flood Loss Function for Australian commercial structures R. Hasanzadeh Nafari et al. 10.1016/j.ijdrr.2016.03.007
70. Development of generalized loss functions for rapid estimation of flood damages: a case study in Kelani River basin, Sri Lanka A. Komolafe et al. 10.1007/s12518-017-0200-4
71. Spatial Transferability of Residential Building Damage Models between Coastal and Fluvial Flood Hazard Contexts R. Paulik et al. 10.3390/jmse11101960
72. Multi-model ensembles for assessment of flood losses and associated uncertainty R. Figueiredo et al. 10.5194/nhess-18-1297-2018
73. Mapping social vulnerability to floods. A comprehensive framework using a vulnerability index approach and PCA analysis I. Ajtai et al. 10.1016/j.ecolind.2023.110838
74. Implementing the European “Floods Directive”: the Case of the Po River Basin D. Molinari et al. 10.1007/s11269-016-1248-3
75. Temporal development of flood risk considering settlement dynamics and local flood protection measures on catchment scale: an Austrian case study S. Achleitner et al. 10.1080/15715124.2016.1167061
76. A Consistent Approach for Probabilistic Residential Flood Loss Modeling in Europe S. Lüdtke et al. 10.1029/2019WR026213
77. A GIS-based tool for flood damage assessment and delineation of a methodology for future risk assessment: case study for Annotto Bay, Jamaica H. Glas et al. 10.1007/s11069-017-2920-5
78. A GIS-based procedure for preliminary mapping of pluvial flood risk at metropolitan scale C. Di Salvo et al. 10.1016/j.envsoft.2018.05.020
79. An introduction to flood modeling for catastrophe risk management S. Zanardo & J. Salinas 10.1002/wat2.1568
80. Calibration and validation of FLFA<sub>rs</sub> -- a new flood loss function for Australian residential structures R. Hasanzadeh Nafari et al. 10.5194/nhess-16-15-2016
81. Capturing Regional Differences in Flood Vulnerability Improves Flood Loss Estimation N. Sairam et al. 10.3389/frwa.2022.817625
82. FLIAT, An Object-Relational GIS Tool for Flood Impact Assessment in Flanders, Belgium S. Van Ackere et al. 10.3390/w11040711
83. A Citizen-Contributed GIS Approach for Evaluating the Impacts of Land Use on Hurricane-Harvey-Induced Flooding in Houston Area D. Yang et al. 10.3390/land8020025
84. The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0 M. Di Bacco et al. 10.5194/nhess-24-1681-2024
85. Flood Depth‒Damage Curves for Spanish Urban Areas E. Martínez-Gomariz et al. 10.3390/su12072666
86. Tracing the value of data for flood loss modelling K. Schröter et al. 10.1051/e3sconf/20160705005
87. Development and assessment of uni- and multivariable flood loss models for Emilia-Romagna (Italy) F. Carisi et al. 10.5194/nhess-18-2057-2018
88. The construction of flood loss ratio function in cities lacking loss data based on dynamic proportional substitution and hierarchical Bayesian model H. Lv et al. 10.1016/j.jhydrol.2020.125797
89. Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling M. Bermúdez & A. Zischg 10.1007/s11069-018-3270-7
90. Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach B. Winter et al. 10.5194/nhess-20-1689-2020
91. Measuring water level in rivers and lakes from lightweight Unmanned Aerial Vehicles F. Bandini et al. 10.1016/j.jhydrol.2017.02.038
92. Predictive applications of Australian flood loss models after a temporal and spatial transfer R. Hasanzadeh Nafari & T. Ngo 10.1080/19475705.2018.1445666
93. A Robust and Transferable Model for the Prediction of Flood Losses on Household Contents M. Mosimann et al. 10.3390/w10111596
94. Are flood damage models converging to “reality”? Lessons learnt from a blind test D. Molinari et al. 10.5194/nhess-20-2997-2020
95. A Zero-Order Flood Damage Model for Regional-Scale Quick Assessments A. Pogliani et al. 10.3390/w13091292
96. Sources of uncertainty in a probabilistic flood risk model B. Winter et al. 10.1007/s11069-017-3135-5
97. Assessing Economic Loss from Urban Waterlogging in Beijing under Climate Change Using a Hydraulic Model J. Zou et al. 10.1021/acssuschemeng.4c01707
98. Assessing vulnerability of buildings to hydro-meteorological hazards using an expert based approach – An application in Nehoiu Valley, Romania A. Godfrey et al. 10.1016/j.ijdrr.2015.06.001
99. Accounting public and individual flood protection measures in damage assessment: A novel approach for quantitative assessment of vulnerability and flood risk associated with local engineering adaptation options B. Rehan 10.1016/j.jhydrol.2018.06.061
100. Construction of flood loss function for cities lacking disaster data based on three-dimensional (object-function-array) data processing H. Lv et al. 10.1016/j.scitotenv.2021.145649
101. Regional and Temporal Transferability of Multivariable Flood Damage Models D. Wagenaar et al. 10.1029/2017WR022233
102. A Comparison of Factors Driving Flood Losses in Households Affected by Different Flood Types G. Mohor et al. 10.1029/2019WR025943